Mr. Gang Wei, Tongji University, China
Mr. Gang Wei is an accomplished researcher specializing in Computer Graphics, Geographic Information Systems (GIS), and Building Information Modeling (BIM). He holds a Ph.D. in Computer Application Technology from Tongji University, Shanghai, focusing on digital city visualization. With over two decades of experience at the CAD Research Center, Tongji University, he has significantly contributed to advancements in computer-aided design (CAD), artificial intelligence, and image recognition. His research explores 3D modeling, graphical interaction, and level-of-detail techniques for smart city applications. Mr. Wei’s expertise in integrating AI with GIS and BIM has led to innovative solutions for urban planning and digital infrastructure. His groundbreaking work continues to shape the future of computational design and intelligent visualization technologies.
🌍 Professional Profile
Scopus
🏆 Suitability for Best Researcher Award
Mr. Gang Wei’s extensive contributions to computer graphics, GIS, and AI-driven visualization make him an excellent candidate for the Best Researcher Award. His pioneering work in digital city modeling, 3D visualization, and feature-based modeling has advanced computational methods for urban development. With over 20 years of research experience, he has played a crucial role in integrating AI-driven image recognition into GIS and CAD applications. His research enhances urban planning efficiency and digital infrastructure visualization, making him a leading figure in smart city development. Recognized for his expertise in building information modeling and computational graphics, Mr. Wei’s work aligns with cutting-edge technological advancements, making him a deserving recipient of this prestigious award.
🎓 Education
Mr. Gang Wei completed his Ph.D. in Computer Application Technology at Tongji University, Shanghai (2008). His doctoral research focused on key technologies for digital city visualization, integrating GIS and 3D modeling to enhance urban digitalization. Prior to this, he earned a Master’s degree (2000) in Computer Application Technology from the same university, specializing in 3D solid modeling and graphical user interface design. His academic training has equipped him with expertise in computer-aided design (CAD), computer graphics, and feature-based modeling. His educational background provided a strong foundation for his contributions to AI-driven urban simulation, visualization technologies, and digital infrastructure modeling, making him a leader in computational design and geographic information systems.
💼 Experience
Mr. Gang Wei has been an Associate Research Fellow at the CAD Research Center, Tongji University, Shanghai, since 2000. His career focuses on computer graphics, AI-driven GIS applications, and CAD-based modeling. He has led research on digital city visualization, AI-driven image recognition, and building information modeling (BIM), significantly impacting smart city development. His expertise in 3D visualization, level-of-detail modeling, and graphical interactions has improved digital infrastructure design and urban planning. Over two decades, he has collaborated on projects integrating AI with geographic data systems, enhancing real-time urban simulations. His work bridges AI, spatial data analytics, and computational design, contributing to technological innovations in urban digitalization and 3D city modeling.
🔬 Research Focus
Mr. Gang Wei’s research focuses on AI-driven computer graphics, image recognition, and GIS-based digital city modeling. His work integrates machine learning with 3D visualization, improving real-time urban simulations. He specializes in feature-based modeling, level-of-detail (LoD) techniques, and CAD applications, enhancing smart city development. His expertise in AI-driven BIM has revolutionized building data management and infrastructure planning. He explores graphical interaction methods and spatial data integration, improving geospatial analytics. His research also includes automated 3D city reconstruction and real-time visualization algorithms, optimizing digital urban planning. Through AI-enhanced computational design and GIS modeling, Mr. Wei’s innovations contribute to smarter, more efficient urban digitalization and intelligent geospatial data analysis.
📊 Publication Top Note
AttenPoint: Exploring Point Cloud Segmentation Through Attention-Based Modules